filippogiruzzi/voice_activity_detection
Voice Activity Detection based on Deep Learning & TensorFlow
This project helps you automatically detect when someone is speaking in an audio recording, distinguishing it from background noise. You provide raw audio files, and it tells you exactly where the speech segments are. It's ideal for anyone who needs to process large amounts of audio data and isolate spoken content, such as researchers, transcribers, or call center analysts.
371 stars. No commits in the last 6 months.
Use this if you need to precisely identify speech segments in audio recordings, especially for tasks like transcribing, indexing, or analyzing spoken content.
Not ideal if you're looking for a simple, out-of-the-box solution without any setup, or if you need to differentiate between multiple speakers.
Stars
371
Forks
69
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 24, 2023
Commits (30d)
0
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